Robert Chew

1.8k total citations · 1 hit paper
37 papers, 455 citations indexed

About

Robert Chew is a scholar working on Artificial Intelligence, Sociology and Political Science and Infectious Diseases. According to data from OpenAlex, Robert Chew has authored 37 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Infectious Diseases. Recurrent topics in Robert Chew's work include Social Media and Politics (3 papers), COVID-19 Clinical Research Studies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Robert Chew is often cited by papers focused on Social Media and Politics (3 papers), COVID-19 Clinical Research Studies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). Robert Chew collaborates with scholars based in United States, Austria and Netherlands. Robert Chew's co-authors include Annice Kim, Antonio A. Morgan‐López, Robert Beach, D. Temple, Meghan Hegarty‐Craver, Maggie O’Neil, Gerald Gartlehner, Meera Viswanathan, Karen Crotty and Nicole M. Coomer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Bioinformatics.

In The Last Decade

Robert Chew

35 papers receiving 444 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study

2024 52 citations Gerald Gartlehner, Leila C. Kahwati et al. Research Synthesis Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Robert Chew United States	12	76	57	54	46	37	37	455
Michael S. Ringel Switzerland	10	76 1.0×	28 0.5×	28 0.5×	18 0.4×	73 2.0×	32	765
Prasad Patil United States	13	71 0.9×	32 0.6×	39 0.7×	11 0.2×	16 0.4×	51	746
Charles T. Gray Australia	6	74 1.0×	42 0.7×	8 0.1×	20 0.4×	8 0.2×	10	451
Frank J. Manion United States	15	174 2.3×	23 0.4×	24 0.4×	3 0.1×	45 1.2×	31	592
Ruoqing Zhu United States	14	110 1.4×	8 0.1×	21 0.4×	8 0.2×	6 0.2×	55	621
Giuseppe Casalicchio Germany	9	180 2.4×	7 0.1×	25 0.5×	43 0.9×	9 0.2×	20	635
Ernest Yeboah Boateng Ghana	5	105 1.4×	17 0.3×	26 0.5×	27 0.6×	6 0.2×	12	487
Nadeem Shafique Butt Saudi Arabia	21	77 1.0×	20 0.4×	14 0.3×	13 0.3×	5 0.1×	120	1.6k
Daniel C. Berrios United States	12	76 1.0×	65 1.1×	11 0.2×	12 0.3×	2 0.1×	31	532

Countries citing papers authored by Robert Chew

Since Specialization

Citations

This map shows the geographic impact of Robert Chew's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Chew more than expected).

Fields of papers citing papers by Robert Chew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Chew. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Chew. The network helps show where Robert Chew may publish in the future.

Co-authorship network of co-authors of Robert Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Chew. A scholar is included among the top collaborators of Robert Chew based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Chew. Robert Chew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Preiss, Alexander, M. Daniel Brannock, John M. Baratta, et al.. (2025). Re-engineering a machine learning phenotype to adapt to the changing COVID-19 landscape: a machine learning modelling study from the N3C and RECOVER consortia. The Lancet Digital Health. 7(8). 100887–100887. 1 indexed citations

Preiss, Alexander, Abhishek Bhatia, John M. Baratta, et al.. (2025). Effect of Paxlovid treatment during acute COVID-19 on Long COVID onset: An EHR-based target trial emulation from the N3C and RECOVER consortia. PLoS Medicine. 22(9). e1004711–e1004711. 1 indexed citations

Gartlehner, Gerald, Shannon Kugley, Karen Crotty, et al.. (2025). Artificial Intelligence–Assisted Data Extraction With a Large Language Model: A Study Within Reviews. Annals of Internal Medicine. 178(12). 1763–1771. 1 indexed citations

Bhatia, Abhishek, Alexander Preiss, M. Daniel Brannock, et al.. (2025). Effect of nirmatrelvir/ritonavir (Paxlovid) on hospitalization among adults with COVID-19: An electronic health record-based target trial emulation from N3C. PLoS Medicine. 22(1). e1004493–e1004493. 2 indexed citations

O’Neil, Shawn T., Charisse Madlock‐Brown, Kenneth J. Wilkins, et al.. (2024). Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. npj Digital Medicine. 7(1). 296–296. 2 indexed citations

Gartlehner, Gerald, Leila C. Kahwati, Barbara Nußbaumer-Streit, et al.. (2024). From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis. BMJ evidence-based medicine. 30(6). 385–389. 3 indexed citations

Gartlehner, Gerald, Leila C. Kahwati, Rainer Hilscher, et al.. (2024). Data extraction for evidence synthesis using a large language model: A proof‐of‐concept study. Research Synthesis Methods. 15(4). 576–589. 52 indexed citations breakdown →

Hadley, Emily, Yun Jae Yoo, Bryan Laraway, et al.. (2024). Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. SHILAP Revista de lepidopterología. 4(1). 129–129. 18 indexed citations

Thomas, Ian B., Gerald Gartlehner, Leila C. Kahwati, et al.. (2024). Performance of two large language models for data extraction in evidence synthesis. Research Synthesis Methods. 15(5). 818–824. 23 indexed citations

10.

Miller, Adam Bryant, et al.. (2023). Exploring whether mental health crisis text conversations that include discussion of firearms differ from those without firearms. Preventive Medicine. 177. 107783–107783. 1 indexed citations

11.

Kern, Christoph, et al.. (2023). Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. MADOC (University of Mannheim). 14874–14886. 1 indexed citations

12.

Chew, Robert, et al.. (2022). Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis. Journal of Medical Internet Research. 24(1). e30257–e30257. 8 indexed citations

13.

Navarro, Mario A., et al.. (2022). An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit. SHILAP Revista de lepidopterología. 2(1). 100045–100045.

14.

Jelovsek, J. Eric, Marie G. Gantz, Emily S. Lukacz, et al.. (2021). Subgroups of failure after surgery for pelvic organ prolapse and associations with quality of life outcomes: a longitudinal cluster analysis. American Journal of Obstetrics and Gynecology. 225(5). 504.e1–504.e22. 11 indexed citations

15.

Chew, Robert, et al.. (2021). Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification.. 633–644. 1 indexed citations

16.

Chew, Robert, et al.. (2020). Deep Neural Networks and Transfer Learning for Food Crop Identification in UAV Images. Drones. 4(1). 7–7. 76 indexed citations

17.

Chew, Robert, et al.. (2018). Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery. International Journal of Health Geographics. 17(1). 12–12. 23 indexed citations

18.

Lynch, Julie A., Brygida Berse, Robert Chew, et al.. (2018). Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013. BMC Cancer. 18(1). 306–306. 57 indexed citations

19.

Chew, Robert. (2017). Age Category Prediction Feature Set. Figshare. 1 indexed citations

20.

Peiper, Nicholas C., Peter Baumgartner, Robert Chew, et al.. (2017). Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research. 19(7). e236–e236. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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